Senior Data Engineer – Remote Data Pipeline & ETL Specialist for careerzynith – $27/hr Full‑Time, Cloud‑Focused Role

About careerzynith

careerzynith is a global leader in entertainment, media, and immersive experiences, delivering magical moments to millions of guests across theme parks, streaming platforms, and live events. With a legacy of innovation and storytelling, careerzynith continuously invests in cutting‑edge technology to transform data into actionable insights that shape the future of entertainment. As part of its commitment to digital excellence, careerzynith is expanding its Data Engineering team to support a growing portfolio of media, analytics, and guest‑experience initiatives. This remote, full‑time position offers a unique opportunity to work at the intersection of data science, cloud architecture, and creative content delivery—all from the comfort of your home.

Why This Role Matters

Data is the lifeblood of careerzynith’s strategic decisions. From optimizing ride operations to personalizing streaming recommendations, every touchpoint generates valuable information. As a Data Engineer on the careerzynith Data Engineering (DE) team, you will design, build, and maintain robust data pipelines that empower analysts, scientists, and product owners to unlock hidden value. Your work will directly influence how careerzynith creates unforgettable experiences, drives revenue, and stays ahead of industry trends.

Key Responsibilities

• Collaborate with Data Science, Product, and Business Intelligence partners to gather detailed data requirements and translate them into scalable pipeline designs.
• Design, develop, and maintain ETL/ELT processes using SQL (Snowflake, PostgreSQL) and Python, ensuring high‑performance data ingestion from diverse source systems.
• Build and monitor automated data pipelines, employing industry‑standard orchestration tools and custom scheduling solutions.
• Implement data quality frameworks, including validation, profiling, and anomaly detection, to guarantee trustworthy downstream analytics.
• Develop and evolve data models, schema designs, and table structures that support both operational reporting and advanced analytics workloads.
• Maintain version‑controlled code repositories (GitLab/GitHub) and enforce DevOps best practices across development, QA, and production environments.
• Containerize data engineering workloads using Docker, facilitating reproducible environments and streamlined deployments.
• Participate in code reviews, knowledge‑sharing sessions, and continuous improvement initiatives to elevate the overall maturity of careerzynith’s data platform.
• Document pipeline architecture, data lineage, and operational procedures to ensure transparency and ease of onboarding for new team members.
• Stay abreast of emerging cloud technologies (AWS, Snowflake, Databricks) and recommend strategic enhancements that align with careerzynith’s long‑term roadmap.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related discipline.
• Experience: Minimum 2 years of hands‑on experience designing, implementing, and supporting ELT/ETL pipelines in a production environment.
• Technical Skills: Proficiency in Python and SQL (preferably Snowflake). Demonstrated ability to write clean, efficient, and well‑documented code.
• Data Modeling: Strong understanding of relational and dimensional data modeling concepts, with experience building scalable data warehouses.
• Version Control & DevOps: Experience using GitLab or GitHub for source control, and familiarity with CI/CD pipelines, Docker containers, and environment management (Dev, QA, Prod).
• Automation: Experience creating and maintaining automated job schedulers (e.g., Airflow, Prefect, or native cloud orchestration tools).
• Communication: Ability to articulate technical concepts to non‑technical stakeholders and collaborate effectively across distributed teams.

Preferred Qualifications & Nice‑to‑Have Skills

• Hands‑on experience with cloud data platforms such as Snowflake, Databricks, or Redshift.
• Knowledge of AWS services (S3, Lambda, Glue, Athena) and cloud‑native data engineering patterns.
• Familiarity with container orchestration (Kubernetes) and infrastructure‑as‑code tools (Terraform, CloudFormation).
• Exposure to big‑data processing frameworks (Spark, Flink) and streaming pipelines.
• Previous work in the entertainment, media, or hospitality sectors, providing context for guest‑centric data use cases.
• Certifications in cloud platforms (AWS Certified Data Analytics, SnowPro Core) or data engineering (Google Cloud Professional Data Engineer).

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant technical solutions.
• Detail Orientation: Commitment to data integrity, meticulous testing, and thorough documentation.
• Collaboration: Proactive teamwork, openness to feedback, and a willingness to mentor junior engineers.
• Adaptability: Comfort working in a fast‑paced, ever‑changing environment where priorities shift based on business needs.
• Continuous Learning: Passion for staying current with emerging technologies and applying best practices to improve pipeline efficiency.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a Data Engineer, you will have access to:

• Mentorship from senior architects who have built large‑scale data platforms for global entertainment brands.
• Sponsored certifications and training programs covering cloud architecture, advanced analytics, and machine learning pipelines.
• Opportunities to lead cross‑functional projects, such as migrating legacy data warehouses to modern cloud solutions.
• Rotational assignments across careerzynith’s diverse business units—theme parks, streaming services, and live events—broadening your domain expertise.
• Regular hackathons and innovation days where you can prototype new ideas and showcase them to senior leadership.

Work Environment & Culture at careerzynith

careerzynith fosters a collaborative, inclusive, and purpose‑driven culture. Even though this role is remote, you will be part of a vibrant global community that values:

• Flexibility: Choose a work schedule that aligns with your personal productivity rhythms while meeting core collaboration windows.
• Well‑Being: Access to mental‑health resources, virtual fitness classes, and a generous paid‑time‑off policy.
• Diversity & Inclusion: Employee resource groups, mentorship programs, and a commitment to equitable hiring practices.
• Innovation: A culture that encourages experimentation, celebrates failures as learning opportunities, and rewards creative problem‑solving.
• Recognition: Regular performance feedback, peer‑to‑peer recognition platforms, and awards for outstanding contributions.

Compensation, Perks & Benefits

careerzynith offers a competitive compensation package that reflects the expertise you bring to the role. While the base rate for this position is $27 per hour, total rewards include:

• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching contributions.
• Annual performance bonuses tied to individual and team achievements.
• Paid parental leave, family‑care assistance, and flexible work‑from‑home stipends.
• Professional development budget for conferences, courses, and certifications.
• Access to careerzynith’s entertainment portfolio—discounted tickets, streaming subscriptions, and behind‑the‑scenes experiences.

How to Apply

If you are passionate about turning raw data into strategic assets, thrive in a remote, collaborative environment, and want to contribute to the magic that careerzynith creates for audiences worldwide, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant projects.

Apply Now

Join careerzynith and Shape the Future of Entertainment

At careerzynith, your work will be seen by millions, your innovations will drive business growth, and your career will flourish alongside some of the brightest minds in data engineering. Take the next step in your professional journey—apply today and become part of a team that turns data into unforgettable experiences.